/AWS1/CL_SGMMLFLOWCONFIG¶
The MLflow configuration using SageMaker managed MLflow.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_mlflowresourcearn TYPE /AWS1/SGMMLFLOWRESOURCEARN /AWS1/SGMMLFLOWRESOURCEARN¶
The Amazon Resource Name (ARN) of the MLflow resource.
Optional arguments:¶
iv_mlflowexperimentname TYPE /AWS1/SGMMLFLOWEXPERIMENTNAME /AWS1/SGMMLFLOWEXPERIMENTNAME¶
The MLflow experiment name used for this job.
iv_mlflowrunname TYPE /AWS1/SGMMLFLOWRUNNAME /AWS1/SGMMLFLOWRUNNAME¶
The MLflow run name used for this job.
Queryable Attributes¶
MlflowResourceArn¶
The Amazon Resource Name (ARN) of the MLflow resource.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWRESOURCEARN() |
Getter for MLFLOWRESOURCEARN, with configurable default |
ASK_MLFLOWRESOURCEARN() |
Getter for MLFLOWRESOURCEARN w/ exceptions if field has no v |
HAS_MLFLOWRESOURCEARN() |
Determine if MLFLOWRESOURCEARN has a value |
MlflowExperimentName¶
The MLflow experiment name used for this job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWEXPERIMENTNAME() |
Getter for MLFLOWEXPERIMENTNAME, with configurable default |
ASK_MLFLOWEXPERIMENTNAME() |
Getter for MLFLOWEXPERIMENTNAME w/ exceptions if field has n |
HAS_MLFLOWEXPERIMENTNAME() |
Determine if MLFLOWEXPERIMENTNAME has a value |
MlflowRunName¶
The MLflow run name used for this job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWRUNNAME() |
Getter for MLFLOWRUNNAME, with configurable default |
ASK_MLFLOWRUNNAME() |
Getter for MLFLOWRUNNAME w/ exceptions if field has no value |
HAS_MLFLOWRUNNAME() |
Determine if MLFLOWRUNNAME has a value |